黑料福利网

Pregnancy complications are often associated with abnormal development and interaction between the cardiovascular system of mother and fetus. MAPPING aims at modelling the coupling between the cardiovascular systems of mother and fetus as pregnancy progresses. The coupling model, which will be rendered to doctors through a graphical representation, makes use of multimodal recordings (mostly ultrasound and electrophysiological) as inputs. Based on such a model, pregnancy complications will ultimately be predicted through machine learning.

MAPPING investigates this coupling by:

1) generating a clinical dataset as a basis to develop comprehensive models of the mother-fetus coupling;

2) providing visual maps of this coupling;

3) developing automated detection of pregnancy complications based on differences in the coupling maps.

MAPPING contributes to improving our understanding of normal and pathological pregnancies, and paves the way for the development of diagnostic tools for timely diagnosis and, ultimately, prediction of pregnancy complications, leading to improved and early treatment and pregnancy outcome.

Project:  MAPPING| 2024-2028
Funded: NWO Open Technology Program - Project 20615
Projectleader: Massimo Mischi | Supported by: Alessandra Galli and Elisabetta Peri.
Partners: Eindhoven University of Technology, Philips Eindhoven, M谩xima MC

The project MAPPING is part of the Eindhoven MedTech Innovation Center (e/MTIC), a partnership between the Eindhoven University of Technology, Royal Philips, Catharina Hospital, Maxima Medical Centre and Kempenhaeghe Centre for Sleep and Epilepsy. This project is funded by NWO Open Technology Program - Project 20615